【摘要】 提出了一种配电市场初期进行最优电价决策的方法。根据负荷和实时电价随机性的特点,将两者构成随机向量,基于随机机会约束规划(CCP)建立了数学模型。以减小用户成本为目标,以配电公司利润保证为约束,同时考虑配电公司面临的市场中的风险。通过这个数学模型可以有效地确定最优零售电价,并可以使配电公司对实时市场的风险进行规避。算例分析了各个因素对零售电价的影响,并通过随机量不同形式的概率分布验证了模型的合理性。更多还原

【Abstract】 This paper presents a method for optimal retail price determination during early period of distribution electricity market. Because of randomicity of load and spot price, which construct a stochastic vector, a mathematical model is set up based on stochastic chance-constrained programming(CCP). Considering the risks of price fluctuation, the objective is to reduce costs of customers, with guaranteeing profits of the distribution utility as a constraint. With the mathematical model, optimal retail price is availably determined and the distribution utility can evade risks in the market. In simulation, the influence of various factors on retail price is analyzed, and rationality of the propose model is validated through different probability distribution of random quantity.更多还原